Publisher
Instituto Brasileiro de Petroleo e Gas
Subject
Metals and Alloys,Mechanical Engineering,Mechanics of Materials
Reference23 articles.
1. Bahdanau, D., Cho, K., & Bengio, Y. (2014). Neural machine translation by jointly learning to align and translate. arXiV. https://arxiv.org/abs/1409.0473
2. Baltrušaitis, T., Ahuja, C., & Morency, L. (2018). Multimodal machine learning: A survey and taxonomy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(2), 423–443. https://doi.org/10.1109/TPAMI.2018.2798607
3. Bengio, Y., Courville, A., & Vincent, P. (2013). Representation learning: A review and new perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8), 1798–1828. https://doi.org/10.1109/TPAMI.2013.50
4. Cho, K., Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014). Learning phrase representations using RNN encoder-decoder for statistical machine translation. 1724–1734. https://aclanthology.org/D14-1179/
5. D’Mello, S.K., & Kory, J. (2015). A Review and Meta-Analysis of Multimodal Affect Detection Systems. ACM Computing Surveys, 47(3), 1–36. https://doi.org/10.1145/2682899
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